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Federico Cabitza
- > Home > Persons > Federico Cabitza
Publications
- 2023
- [j46]Andrea Campagner, Davide Ciucci, Federico Cabitza:
Aggregation models in ensemble learning: A large-scale comparison. Inf. Fusion 90: 241-252 (2023) - 2022
- [i10]Federico Cabitza, Davide Ciucci, Gabriella Pasi, Marco Viviani:
Responsible AI in Healthcare. CoRR abs/2203.03616 (2022) - 2021
- [j33]Andrea Campagner, Davide Ciucci, Carl-Magnus Svensson, Marc Thilo Figge, Federico Cabitza:
Ground truthing from multi-rater labeling with three-way decision and possibility theory. Inf. Sci. 545: 771-790 (2021) - [j32]Andrea Campagner, Federico Cabitza, Pedro Berjano, Davide Ciucci:
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches. Inf. Sci. 579: 347-367 (2021) - 2020
- [j28]Andrea Campagner, Federico Cabitza, Davide Ciucci:
The three-way-in and three-way-out framework to treat and exploit ambiguity in data. Int. J. Approx. Reason. 119: 292-312 (2020) - [j24]Andrea Seveso, Andrea Campagner, Davide Ciucci, Federico Cabitza:
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings. BMC Medical Informatics Decis. Mak. 20-S(5): 142 (2020) - [c76]Andrea Campagner, Davide Ciucci, Federico Cabitza:
Ensemble Learning, Social Choice and Collective Intelligence - An Experimental Comparison of Aggregation Techniques. MDAI 2020: 53-65 - [c72]Andrea Campagner, Federico Cabitza, Davide Ciucci:
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review. IJCRS 2020: 137-152 - 2019
- [c71]Andrea Campagner, Federico Cabitza, Davide Ciucci:
Exploring Medical Data Classification with Three-Way Decision Trees. HEALTHINF 2019: 147-158 - [c69]Federico Cabitza, Andrea Campagner, Davide Ciucci:
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO. CD-MAKE 2019: 27-47 - [c68]Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso:
Programmed Inefficiencies in DSS-Supported Human Decision Making. MDAI 2019: 201-212 - [c66]Andrea Campagner, Federico Cabitza, Davide Ciucci:
Three-Way Classification: Ambiguity and Abstention in Machine Learning. IJCRS 2019: 280-294 - 2018
- [c63]Federico Cabitza, Davide Ciucci:
Fuzzification of Ordinal Classes. The Case of the HL7 Severity Grading. SUM 2018: 64-77 - 2017
- [j16]Federico Cabitza, Davide Ciucci, Angela Locoro:
Exploiting collective knowledge with three-way decision theory: Cases from the questionnaire-based research. Int. J. Approx. Reason. 83: 356-370 (2017) - [i4]Federico Cabitza, Davide Ciucci, Raffaele Rasoini:
A giant with feet of clay: on the validity of the data that feed machine learning in medicine. CoRR abs/1706.06838 (2017)
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